A. J. Uutala

562 total citations
8 papers, 406 citations indexed

About

A. J. Uutala is a scholar working on Pollution, Environmental Chemistry and Nature and Landscape Conservation. According to data from OpenAlex, A. J. Uutala has authored 8 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pollution, 4 papers in Environmental Chemistry and 3 papers in Nature and Landscape Conservation. Recurrent topics in A. J. Uutala's work include Heavy metals in environment (4 papers), Aquatic Ecosystems and Phytoplankton Dynamics (3 papers) and Aquatic Invertebrate Ecology and Behavior (3 papers). A. J. Uutala is often cited by papers focused on Heavy metals in environment (4 papers), Aquatic Ecosystems and Phytoplankton Dynamics (3 papers) and Aquatic Invertebrate Ecology and Behavior (3 papers). A. J. Uutala collaborates with scholars based in Canada, United States and Norway. A. J. Uutala's co-authors include John P. Smol, H. J. B. Birks, John C. Kingston, Brian F. Cumming, Donald F. Charles, Sweta Dixit, Keith E. Camburn, Myron J. Mitchell, M. B. David and Norman D. Yan and has published in prestigious journals such as Environmental Pollution, Canadian Journal of Fisheries and Aquatic Sciences and Biogeochemistry.

In The Last Decade

A. J. Uutala

8 papers receiving 351 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
A. J. Uutala Canada	8	210	190	133	97	62	8	406
Sweta Dixit United States	9	212 1.0×	149 0.8×	104 0.8×	97 1.0×	88 1.4×	17	433
Keith E. Camburn United States	6	214 1.0×	195 1.0×	167 1.3×	91 0.9×	40 0.6×	8	457
Ivan Botev Bulgaria	7	189 0.9×	192 1.0×	99 0.7×	100 1.0×	37 0.6×	17	406
Jarmo J. Meriläinen Finland	10	101 0.5×	157 0.8×	121 0.9×	62 0.6×	30 0.5×	19	348
Delio Ruggiu Italy	12	346 1.6×	224 1.2×	102 0.8×	239 2.5×	55 0.9×	23	509
Linghan Zeng China	12	196 0.9×	259 1.4×	142 1.1×	80 0.8×	52 0.8×	34	439
Luis A. Oseguera Mexico	11	195 0.9×	192 1.0×	66 0.5×	158 1.6×	60 1.0×	53	412
Frode Berge Norway	7	116 0.6×	125 0.7×	136 1.0×	71 0.7×	29 0.5×	10	309
Tammy L. Karst‐Riddoch Canada	9	113 0.5×	197 1.0×	269 2.0×	64 0.7×	105 1.7×	10	461
Margaret M. Squires Canada	8	207 1.0×	244 1.3×	90 0.7×	145 1.5×	32 0.5×	8	405

Countries citing papers authored by A. J. Uutala

Since Specialization

Citations

This map shows the geographic impact of A. J. Uutala's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A. J. Uutala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. J. Uutala more than expected).

Fields of papers citing papers by A. J. Uutala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. J. Uutala. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by A. J. Uutala. The network helps show where A. J. Uutala may publish in the future.

Co-authorship network of co-authors of A. J. Uutala

This figure shows the co-authorship network connecting the top 25 collaborators of A. J. Uutala. A scholar is included among the top collaborators of A. J. Uutala based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. J. Uutala. A. J. Uutala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Uutala, A. J. & John P. Smol. (1996). Paleolimnological reconstructions of long-term changes in fisheries status in Sudbury area lakes. Canadian Journal of Fisheries and Aquatic Sciences. 53(1). 174–180. 46 indexed citations

2.

Uutala, A. J. & John P. Smol. (1996). Paleolimnological reconstructions of long-term changes in fisheries status in Sudbury area lakes. Canadian Journal of Fisheries and Aquatic Sciences. 53(1). 174–180. 10 indexed citations

3.

Uutala, A. J., Norman D. Yan, Aruna S. Dixit, Sushil S. Dixit, & John P. Smol. (1994). Paleolimnological assessment of damage to fish communities in three acidic, Canadian Shield lakes. Fisheries Research. 19(1-2). 157–177. 29 indexed citations

4.

Sullivan, Timothy J., Robert S. Turner, Donald F. Charles, et al.. (1992). Use of historical assessment for evaluation of process-based model projections of future environmental change: Lake acidification in the adirondack mountains, New York, USA. Environmental Pollution. 77(2-3). 253–262. 20 indexed citations

5.

Kingston, John C., H. J. B. Birks, A. J. Uutala, Brian F. Cumming, & John P. Smol. (1992). Assessing Trends in Fishery Resources and Lake Water Aluminum from Paleolimnological Analyses of Siliceous Algae. Canadian Journal of Fisheries and Aquatic Sciences. 49(1). 116–127. 61 indexed citations

6.

Cumming, Brian F., John P. Smol, John C. Kingston, et al.. (1992). How Much Acidification Has Occurred in Adirondack Region Lakes (New York, USA) since Preindustrial Times?. Canadian Journal of Fisheries and Aquatic Sciences. 49(1). 128–141. 147 indexed citations

7.

Charles, Donald F., Donald R. Whitehead, Daniel R. Engstrom, et al.. (1987). Paleolimnological evidence for recent acidification of Big Moose Lake, Adirondack Mountains, N.Y. (USA). Biogeochemistry. 3(1-3). 267–296. 65 indexed citations

8.

Mitchell, Myron J., M. B. David, & A. J. Uutala. (1985). Sulfur distribution in lake sediment profiles as an index of historical depositional patterns. Hydrobiologia. 121(2). 121–127. 28 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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